About

About Compounding Energy

Power systems are decided years before they run and paid for over decades. A modelling error made early carries into every decision built on it, and so does a good model, which is where the name comes from. We take the kind of modelling that usually means a six-month consultancy study and make it available as software, fast enough to use while the decision is still open.

How we work

One model of the grid under every product

Every product shares the same fleet model, network topology, weather store and solver, so a siting answer, a price forecast, a dispatch and an expansion plan agree with each other.

Prices come from dispatch, generation from weather and plans from optimisation, rather than from curve fits to history. When a number surprises you, you can trace where it came from. The GB price is the dual of a linear programme, a wind farm’s output comes from the turbine’s power curve and a wake model, and a capacity plan comes out of a Benders decomposition you can rerun.

Every forecast is saved before the answer is known and scored against what happened. Pre-registered tests are published whatever the result, so the misses sit next to the passes.

Answers have to arrive while they can still change a decision. Nodal solves that used to need a cluster and a quarter now run daily, and studies that took months run in an afternoon, reproducibly, from a signed manifest.

Founder

Dr Christopher T. M. Clack

Dr Christopher Clack is an applied mathematician and power-systems modeller. After a career in academia and government service, he founded Vibrant Clean Energy in 2016 and built WIS:dom, a high-resolution capacity-expansion model used for studies across the US industry. He sold the company to Pattern Energy and spent several years there applying the models inside a major developer. He now lives in the UK, where he founded Compounding Energy to sell the same kind of modelling as subscription software.

Dr Christopher T. M. Clack
The company

A small, technical company

Compounding Energy Ltd is registered in England & Wales (no. 17319227). We build everything in-house: the models, the data pipelines, the solver and the products, so there is no licensed black box between you and the answer.